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My Eyes Are up Here: Promoting Focus on Uncovered Regions in Masked Face Recognition
20th International Conference of the Biometrics Special Interest Group, BIOSIG 2021 ; 2021.
Article in English | Scopus | ID: covidwho-1470286
ABSTRACT
The recent Covid-19 pandemic and the fact that wearing masks in public is now mandatory in several countries, created challenges in the use of face recognition systems (FRS). In this work, we address the challenge of masked face recognition (MFR) and focus on evaluating the verification performance in FRS when verifying masked vs unmasked faces compared to verifying only unmasked faces. We propose a methodology that combines the traditional triplet loss and the mean squared error (MSE) intending to improve the robustness of an MFR system in the masked-unmasked comparison mode. The results obtained by our proposed method show improvements in a detailed step-wise ablation study. The conducted study showed significant performance gains induced by our proposed training paradigm and modified triplet loss on two evaluation databases. © 2021 IEEE.

Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 20th International Conference of the Biometrics Special Interest Group, BIOSIG 2021 Year: 2021 Document Type: Article

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Full text: Available Collection: Databases of international organizations Database: Scopus Language: English Journal: 20th International Conference of the Biometrics Special Interest Group, BIOSIG 2021 Year: 2021 Document Type: Article